Optimization of the investment portfolio for oil and gas projects under conditions of risk and uncertainty

Kruk Marina, Shabalina Anastasiia

Article ID: 10928
Vol 9, Issue 2, 2025

VIEWS - 795 (Abstract)

Abstract


The application of optimization algorithms is crucial for analyzing oil and gas company portfolio and supporting decision-making. The paper investigates the process of optimizing a portfolio of oil and gas projects under economic uncertainty. The literature review explores the advantages of applying various optimizers to models that consider the mean and semi-standard deviations of stochastic multi-year cash flows and revenues. The methods and results of three different optimization algorithms are discussed: ranking and cutting algorithms, linear (Simplex) and evolutionary (genetic) algorithms. Functions of several key performance indicators were used to test these algorithms. The results confirmed that multi-objective optimization algorithms that examine various key performance indicators are used for efficient optimization in oil and gas companies. This paper proposes a multi-criteria optimization model for investment portfolios of oil and gas projects. The model considers the specific features of these projects and is based on the Markowitz portfolio theory and methodological recommendations for project assessment. An example of its practical application to oil and gas projects is also provided.


Keywords


volatility; investment; risk management; portfolio analysis; oil projects; gas projects; high uncertainty affect

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References

  1. Afanasyev, D. O., Fedorova, E., & Ledyaeva, S. (2021). Strength of words: Donald Trump’s tweets, sanctions and Russia’s ruble. Journal of Economic Behavior & Organization, 184, 253–277. https://doi.org/10.1016/j.jebo.2021.02.002
  2. Ahmadi, M., Manera, M., & Sadeghzadeh, M. (2019). The investment-uncertainty relationship in the oil and gas industry. Resources Policy, 63, 101439. https://doi.org/10.1016/j.resourpol.2019.101439
  3. Alaali, F. (2020). The effect of oil and stock price volatility on firm level investment: The case of UK firms. Energy Economics, 87, 104731. https://doi.org/10.1016/j.eneco.2020.104731
  4. Alam, M. S., Murshed, M., Manigandan, P., et al. (2023). Forecasting oil, coal, and natural gas prices in the pre-and post-COVID scenarios: Contextual evidence from India using time series forecasting tools. Resources Policy, 81, 103342. https://doi.org/10.1016/j.resourpol.2023.103342
  5. Alnaqbi, A., Dweiri, F., & Chaabane, A. (2022). Impact of horizontal mergers on supply chain performance: The case of the upstream oil and gas industry. Computers & Chemical Engineering, 159, 107659. https://doi.org/10.1016/j.compchemeng.2022.107659
  6. Anquetin, T., Coqueret, G., Tavin, B., et al. (2022). Scopes of carbon emissions and their impact on green portfolios. Economic Modelling, 115, 105951. https://doi.org/10.1016/j.econmod.2022.105951
  7. Appiah, M. K., Sedegah, D. D., & Akolaa, R. A. (2021). The implications of macroenvironmental forces and SMEs investment behaviour in the energy sector: the role of supply chain resilience. Heliyon, 7(11), e08426. https://doi.org/10.1016/j.heliyon.2021.e08426
  8. Asl, M. G., Canarella, G., & Miller, S. M. (2021). Dynamic asymmetric optimal portfolio allocation between energy stocks and energy commodities: Evidence from clean energy and oil and gas companies. Resources Policy, 71, 101982. https://doi.org/10.1016/j.resourpol.2020.101982
  9. Atmaca, M. E. (2022). Portfolio management and performance improvement with Sharpe and Treynor ratios in electricity markets. Energy Reports, 8, 192–201. https://doi.org/10.1016/j.egyr.2021.11.287
  10. Babyr, N. V. (2024). Topical Themes and New Trends in Mining Industry: Scientometric Analysis and Research Visualization. International Journal of Engineering, 37(2), 439–451. https://doi.org/10.5829/ije.2024.37.02b.18
  11. Baltuttis, D., Töppel, J., Tränkler, T., et al. (2020). Managing the risks of energy efficiency insurances in a portfolio context: An actuarial diversification approach. International Review of Financial Analysis, 68, 101313. https://doi.org/10.1016/j.irfa.2019.01.007
  12. Barroso, B. C., Cardoso, R. T. N., & Melo, M. K. (2021). Performance analysis of the integration between Portfolio Optimization and Technical Analysis strategies in the Brazilian stock market. Expert Systems with Applications, 186, 115687. https://doi.org/10.1016/j.eswa.2021.115687
  13. Berntsen, M., Bøe, K. S., Jordal, T., et al. (2018). Determinants of oil and gas investments on the Norwegian Continental Shelf. Energy, 148, 904–914. https://doi.org/10.1016/j.energy.2018.01.147
  14. Bigerna, S., D’Errico, M. C., & Polinori, P. (2022). Dynamic forecast error variance decomposition as risk management process for the Gulf Cooperation Council oil portfolios. Resources Policy, 78, 102937. https://doi.org/10.1016/j.resourpol.2022.102937
  15. Bratskikh, D. S., Romasheva, N. V., Konopelko, A. Y., et al. (2024). Model of supply chain management in the oil and gas industry using digital technologies. Neftyanoe Khozyaystvo - Oil Industry, 7, 120–125. https://doi.org/10.24887/0028-2448-2024-7-120-125
  16. Chen, H., Li, X.-Y., Lu, X.-R., et al. (2021). A multi-objective optimization approach for the selection of overseas oil projects. Computers & Industrial Engineering, 151, 106977. https://doi.org/10.1016/j.cie.2020.106977
  17. Chen, L., Yuan, Y., & Zhao, N. (2022). The effect of oil price uncertainty on corporate investment in the presence of growth options: Evidence from listed companies in China (1998–2019). The North American Journal of Economics and Finance, 62, 101779. https://doi.org/10.1016/j.najef.2022.101779
  18. Cheng, C., Wang, Z., Wang, J., et al. (2018). Domestic oil and gas or imported oil and gas – An energy return on investment perspective. Resources, Conservation and Recycling, 136, 63–76. https://doi.org/10.1016/j.resconrec.2018.04.009
  19. Cherepovitsyn, A. E., & Tretyakov, N. A. (2023). Development of New System for Assessing the Applicability of Digital Projects in the Oil and Gas Sector. Journal of Mining Institute, 262, 628-642.
  20. Ciccone, J., Marchiori, L., & Morhs, R. (2022). The flow-performance relationship of global investment funds. Journal of International Money and Finance, 127, 102690. https://doi.org/10.1016/j.jimonfin.2022.102690
  21. Crozet, M., Hinz, J., Stammann, A., et al. (2021). Worth the pain? Firms’ exporting behaviour to countries under sanctions. European Economic Review, 134, 103683. https://doi.org/10.1016/j.euroecorev.2021.103683
  22. Dai, Z., & Zhu, H. (2022). Time-varying spillover effects and investment strategies between WTI crude oil, natural gas and Chinese stock markets related to belt and road initiative. Energy Economics, 108, 105883. https://doi.org/10.1016/j.eneco.2022.105883
  23. Demirer, R., Yuksel, A., & Yuksel, A. (2020). Oil price uncertainty, global industry returns and active investment strategies. The Journal of Economic Asymmetries, 22, e00177. https://doi.org/10.1016/j.jeca.2020.e00177
  24. Dmitrieva, D., & Solovyova, V. (2023). Russian Arctic Mineral Resources Sustainable Development in the Context of Energy Transition, ESG Agenda and Geopolitical Tensions. Energies, 16(13), 5145. https://doi.org/10.3390/en16135145
  25. Dong, X., Dong, W., & Lv, X. (2020). Impact of environmental policy on investment efficiency: Evidence from the oil and gas sector in Canada. Journal of Cleaner Production, 252, 119758. https://doi.org/10.1016/j.jclepro.2019.119758
  26. Dvoynikov, M. V., & Leusheva, E. L. (2022). Modern trends in hydrocarbon resources development. Journal of Mining Institute, 258, 879-880.
  27. Ellis, S. C., Oh, J., Henke, J. W., et al. (2023). Supplier relationship portfolio management: A social exchange perspective. Journal of Purchasing and Supply Management, 29(1), 100816. https://doi.org/10.1016/j.pursup.2022.100816
  28. Faria, V. A. D., Rodrigo de Queiroz, A., & DeCarolis, J. F. (2023). Scenario generation and risk-averse stochastic portfolio optimization applied to offshore renewable energy technologies. Energy, 270, 126946. https://doi.org/10.1016/j.energy.2023.126946
  29. Fattahi, S., & Nafisi-Moghadam, M. (2023). Do oil sanctions affect the interdependence and integration of financial markets? Heliyon, 9(2), e13793. https://doi.org/10.1016/j.heliyon.2023.e13793
  30. Ferriani, F., & Veronese, G. (2022). Hedging and investment trade-offs in the U.S. oil industry. Energy Economics, 106, 105736. https://doi.org/10.1016/j.eneco.2021.105736
  31. Fu, Z., Chen, Z., Sharif, A., et al. (2022). The role of financial stress, oil, gold and natural gas prices on clean energy stocks: Global evidence from extreme quantile approach. Resources Policy, 78, 102860. https://doi.org/10.1016/j.resourpol.2022.102860
  32. Gargallo, P., Lample, L., Miguel, J. A., et al. (2022). Dynamic risk management in European energy portfolios: Evolution of the role of clean and carbon markets. Energy Reports, 8, 15654–15668. https://doi.org/10.1016/j.egyr.2022.11.146
  33. Gazprom neft’s 2021 net profit reaches an all-time high. (2022). Available online: https://www.rogtecmagazine.com/gazprom-neft-2021-net-profit-rreaches-an-all-time-high/ (accessed on 2 November 2024).
  34. Gerasimova, K. E., & Naumova, O. A. (2020). Portfolio optimization technique of oil and gas company assets. Vestnik of Samara State University of Economics, 3(185), 46–55. https://doi.org/10.46554/1993-0453-2020-3-185-46-55
  35. Ghasseminejad, S., & Jahan-Parvar, M. R. (2021). The impact of financial sanctions: The case of Iran. Journal of Policy Modeling, 43(3), 601–621. https://doi.org/10.1016/j.jpolmod.2021.03.001
  36. Gupta, N., Park, H., & Phaal, R. (2022). The portfolio planning, implementing, and governing process: An inductive approach. Technological Forecasting and Social Change, 180, 121652. https://doi.org/10.1016/j.techfore.2022.121652
  37. Hailemariam, A., Ivanovski, K., & Dzhumashev, R. (2022). Does R&D investment in renewable energy technologies reduce greenhouse gas emissions? Applied Energy, 327, 120056. https://doi.org/10.1016/j.apenergy.2022.120056
  38. Harjoto, M. A., Hoepner, A. G. F., & Li, Q. (2021). Corporate social irresponsibility and portfolio performance: A cross-national study. Journal of International Financial Markets, Institutions and Money, 70, 101274. https://doi.org/10.1016/j.intfin.2020.101274
  39. Huang, C., Gu, B., Chen, Y., et al. (2019). Energy return on energy, carbon, and water investment in oil and gas resource extraction: Methods and applications to the Daqing and Shengli oilfields. Energy Policy, 134, 110979. https://doi.org/10.1016/j.enpol.2019.110979
  40. Hunt, J. D., Nascimento, A., Nascimento, N., et al. (2022). Possible pathways for oil and gas companies in a sustainable future: From the perspective of a hydrogen economy. Renewable and Sustainable Energy Reviews, 160, 112291. https://doi.org/10.1016/j.rser.2022.112291
  41. Ikonnikova, S. A., del Carpio Neyra, V., & Berdysheva, S. (2022). Investment choices and production dynamics: The role of price expectations, financial deficit, and production constraints. Journal of Economics and Business, 120, 106067. https://doi.org/10.1016/j.jeconbus.2022.106067
  42. Ilyas, M., Khan, A., Nadeem, M., et al. (2021). Economic policy uncertainty, oil price shocks and corporate investment: Evidence from the oil industry. Energy Economics, 97, 105193. https://doi.org/10.1016/j.eneco.2021.105193
  43. Iqbal, N., Naeem, M. A., & Suleman, M. T. (2022). Quantifying the asymmetric spillovers in sustainable investments. Journal of International Financial Markets, Institutions and Money, 77, 101480. https://doi.org/10.1016/j.intfin.2021.101480
  44. Jain, P., Maitra, D., & Kang, S. H. (2023). Oil price and the automobile industry: Dynamic connectedness and portfolio implications with downside risk. Energy Economics, 119, 106537. https://doi.org/10.1016/j.eneco.2023.106537
  45. Ji, T., Jiang, P., & Xu, R. (2023). Technology portfolios optimization to deliver cost-effective shale gas development: Using CO2 versus water. Fuel, 335, 127006. https://doi.org/10.1016/j.fuel.2022.127006
  46. Kim, O. (2021). The impact of economic sanctions on audit pricing. Journal of Contemporary Accounting & Economics, 17(2), 100257. https://doi.org/10.1016/j.jcae.2021.100257
  47. Kimiagari, S., Mahbobi, M., & Toolsee, T. (2023). Attracting and retaining FDI: Africa gas and oil sector. Resources Policy, 80, 103219. https://doi.org/10.1016/j.resourpol.2022.103219
  48. Kimuli, I., Lubwama, M., Kirabira, J. B., et al. (2022). A sustainable energy portfolio for Greater Kampala Metropolitan Area towards the mid-century. Heliyon, 8(11), e11452. https://doi.org/10.1016/j.heliyon.2022.e11452
  49. Konrad, K. A., & Thum, M. (2023). Elusive effects of export embargoes for fossil energy resources. Energy Economics, 117, 106441. https://doi.org/10.1016/j.eneco.2022.106441
  50. Korotin, V., Dolgonosov, M., Popov, V., et al. (2019). The Ukrainian crisis, economic sanctions, oil shock and commodity currency: Analysis based on EMD approach. Research in International Business and Finance, 48, 156–168. https://doi.org/10.1016/j.ribaf.2018.12.012
  51. LaCosta, W. C. P., & Milkov, A. V. (2022). Petroleum exploration portfolios generated with different optimization approaches: Lessons for decision-makers. Journal of Petroleum Science and Engineering, 214, 110459. https://doi.org/10.1016/j.petrol.2022.110459
  52. Lebedev, A., & Cherepovitsyn, A. (2024). Waste Management during the Production Drilling Stage in the Oil and Gas Sector: A Feasibility Study. Resources, 13(2), 26. https://doi.org/10.3390/resources13020026
  53. Litvinenko, V. S. (2019). Digital Economy as a Factor in the Technological Development of the Mineral Sector. Natural Resources Research, 29(3), 1521–1541. https://doi.org/10.1007/s11053-019-09568-4
  54. Litvinenko, V., Petrov, E., Vasilevskaya, D., et al. (2022). Assessment of the role of the state in the management of mineral resources. Journal of Mining Institute, 259, 95-111. https://doi.org/10.31897/pmi.2022.100
  55. Loban, L., Sarto, J. L., & Vicente, L. (2021). Determinants of non-compliant equity funds with EU portfolio concentration limits. Journal of Multinational Financial Management, 62, 100707. https://doi.org/10.1016/j.mulfin.2021.100707
  56. Luiz, J. M., & Barnard, H. (2022). Home country (in)stability and the locational portfolio construction of emerging market multinational enterprises. Journal of Business Research, 151, 17–32. https://doi.org/10.1016/j.jbusres.2022.06.042
  57. M, J., Mohan, V., Thomas, M. S., et al. (2022). Risk-Calibrated conventional-renewable generation mix using master-slave portfolio approach guided by flexible investor preferencing. Energy, 245, 123261. https://doi.org/10.1016/j.energy.2022.123261
  58. Ma, H., Sun, Z., & Fang, C. (2020). Risk assessment of transnational oil investment in Central Asia using a fuzzy comprehensive evaluation method. Regional Sustainability, 1(1), 11–19. https://doi.org/10.1016/j.regsus.2020.06.002
  59. Maghyereh, A., & Abdoh, H. (2020). Asymmetric effects of oil price uncertainty on corporate investment. Energy Economics, 86, 104622. https://doi.org/10.1016/j.eneco.2019.104622
  60. Maitra, D., Guhathakurta, K., & Kang, S. H. (2021). The good, the bad and the ugly relation between oil and commodities: An analysis of asymmetric volatility connectedness and portfolio implications. Energy Economics, 94, 105061. https://doi.org/10.1016/j.eneco.2020.105061
  61. Martins, A. M., Correia, P., & Gouveia, R. (2023). Russia-Ukraine conflict: The effect on European banks’ stock market returns. Journal of Multinational Financial Management, 67, 100786. https://doi.org/10.1016/j.mulfin.2023.100786
  62. Massel, L., Komendantova, N., Massel, A., et al. (2024). Resilience of socio-ecological and energy systems: Intelligent information technologies for risk assessment of natural and technogenic threats. Journal of Infrastructure, Policy and Development, 8(7), 4700. https://doi.org/10.24294/jipd.v8i7.4700
  63. Mensi, W., Reboredo, J. C., Ugolini, A., et al. (2022). Switching connectedness between real estate investment trusts, oil, and gold markets. Finance Research Letters, 49, 103112. https://doi.org/10.1016/j.frl.2022.103112
  64. Milford, J., Henrion, M., Hunter, C., et al. (2022). Energy sector portfolio analysis with uncertainty. Applied Energy, 306, 117926. https://doi.org/10.1016/j.apenergy.2021.117926
  65. Monaldi, F., Hernández, I., & La Rosa Reyes, J. (2021). The collapse of the Venezuelan oil industry: The role of above-ground risks limiting foreign investment. Resources Policy, 72, 102116. https://doi.org/10.1016/j.resourpol.2021.102116
  66. Morgunova, M., & Shaton, K. (2022). The role of incumbents in energy transitions: Investigating the perceptions and strategies of the oil and gas industry. Energy Research & Social Science, 89, 102573. https://doi.org/10.1016/j.erss.2022.102573
  67. Naeem, M. A., Bouri, E., Costa, M. D., et al. (2021). Energy markets and green bonds: A tail dependence analysis with time-varying optimal copulas and portfolio implications. Resources Policy, 74, 102418. https://doi.org/10.1016/j.resourpol.2021.102418
  68. Nakagawa, K., & Suimon, Y. (2022). Inflation rate tracking portfolio optimization method: Evidence from Japan. Finance Research Letters, 49, 103130. https://doi.org/10.1016/j.frl.2022.103130
  69. Nejati, M., & Bahmani, M. (2020). The economic impacts of foreign direct investment in oil and gas sector: A CGE analysis for iranian economy. Energy Strategy Reviews, 32, 100579. https://doi.org/10.1016/j.esr.2020.100579
  70. Nikolaichuk, L., Ignatiev, K., Filatova, I., et al. (2023). Diversification of Portfolio of International Oil and Gas Assets using Cluster Analysis. International Journal of Engineering, 36(10), 1783–1792. https://doi.org/10.5829/ije.2023.36.10a.06
  71. Oikonomou, I., Platanakis, E., & Sutcliffe, C. (2018). Socially responsible investment portfolios: Does the optimization process matter? The British Accounting Review, 50(4), 379–401. https://doi.org/10.1016/j.bar.2017.10.003
  72. Olmez Turan, M., & Flamand, T. (2023). Optimizing investment and transportation decisions for the European natural gas supply chain. Applied Energy, 337, 120859. https://doi.org/10.1016/j.apenergy.2023.120859
  73. Oosterom, J.-P., & Hall, C. A. S. (2022). Enhancing the evaluation of Energy Investments by supplementing traditional discounted cash flow with Energy Return on Investment analysis. Energy Policy, 168, 112953. https://doi.org/10.1016/j.enpol.2022.112953
  74. Ponomarenko, T., Marin, E., & Galevskiy, S. (2022). Economic Evaluation of Oil and Gas Projects: Justification of Engineering Solutions in the Implementation of Field Development Projects. Energies, 15(9), 3103. https://doi.org/10.3390/en15093103
  75. Qamruzzaman, M., Karim, S., & Jahan, I. (2022). Nexus between economic policy uncertainty, foreign direct investment, government debt and renewable energy consumption in 13 top oil importing nations: Evidence from the symmetric and asymmetric investigation. Renewable Energy, 195, 121–136. https://doi.org/10.1016/j.renene.2022.05.168
  76. Rabello, R. C. C., Nairn, K., & Anderson, V. (2019). Working within/against institutional expectations: Exploring recommendations for social investment in the Oil and Gas sector. The Extractive Industries and Society, 6(1), 103–109. https://doi.org/10.1016/j.exis.2018.06.007
  77. Ramírez-Orellana, A., Martínez-Victoria, Mc., García-Amate, A., et al. (2023). Is the corporate financial strategy in the oil and gas sector affected by ESG dimensions? Resources Policy, 81, 103303. https://doi.org/10.1016/j.resourpol.2023.103303
  78. Ranjbar, M., Nasiri, M. M., & Torabi, S. A. (2022). Multi-mode project portfolio selection and scheduling in a build-operate-transfer environment. Expert Systems with Applications, 189, 116134. https://doi.org/10.1016/j.eswa.2021.116134
  79. Sabet, A. H., Agha, M., & Heaney, R. (2018). Value of investment: Evidence from the oil and gas industry. Energy Economics, 70, 190–204. https://doi.org/10.1016/j.eneco.2018.01.006
  80. Samadi, A. H., Owjimehr, S., & Nezhad Halafi, Z. (2021). The cross-impact between financial markets, Covid-19 pandemic, and economic sanctions: The case of Iran. Journal of Policy Modeling, 43(1), 34–55. https://doi.org/10.1016/j.jpolmod.2020.08.001
  81. Sehatpour, M.-H., & Kazemi, A. (2018). Sustainable fuel portfolio optimization: Integrated fuzzy multi-objective programming and multi-criteria decision making. Journal of Cleaner Production, 176, 304–319. https://doi.org/10.1016/j.jclepro.2017.12.092
  82. Sharma, M., Joshi, S., Prasad, M., et al. (2023). Overcoming barriers to circular economy implementation in the oil & gas industry: Environmental and social implications. Journal of Cleaner Production, 391, 136133. https://doi.org/10.1016/j.jclepro.2023.136133
  83. Stroykov, G., Vasilev, Y. N., & Zhukov, O. V. (2021). Basic Principles (Indicators) for Assessing the Technical and Economic Potential of Developing Arctic Offshore Oil and Gas Fields. Journal of Marine Science and Engineering, 9(12), 1400. https://doi.org/10.3390/jmse9121400
  84. Surovtsev, D., Levy, T., & Sethi, M. U. (2018). Look at Situations from all Angles and you will Become More Open: Advanced Analytics Approach to Exploration Portfolio Allocation Decisions. 2018 AAPG International Conference and Exhibition.
  85. Tan, R. R., Aviso, K. B., & Ng, D. K. S. (2019). Optimization models for financing innovations in green energy technologies. Renewable and Sustainable Energy Reviews, 113, 109258. https://doi.org/10.1016/j.rser.2019.109258
  86. Tang, B.-J., Song, X.-T., & Cao, H. (2018). A study on overseas oil and gas investment to avoid the risk of the changes in tax policies: A case in China. Journal of Petroleum Science and Engineering, 160, 35–46. https://doi.org/10.1016/j.petrol.2017.10.031
  87. Ulanov, V., & Skorobogatko, O. (2022). Impact of EU carbon border adjustment mechanism on the economic efficiency of russian oil refining. Journal of Mining Institute, 257, 865-876. https://doi.org/10.31897/pmi.2022.83
  88. Valle, A. del, Wogrin, S., & Reneses, J. (2020). Multi-objective bi-level optimization model for the investment in gas infrastructures. Energy Strategy Reviews, 30, 100492. https://doi.org/10.1016/j.esr.2020.100492
  89. Vo, N. N. Y., He, X., Liu, S., et al. (2019). Deep learning for decision making and the optimization of socially responsible investments and portfolio. Decision Support Systems, 124, 113097. https://doi.org/10.1016/j.dss.2019.113097
  90. Vukovic, D. B., Maiti, M., & Frömmel, M. (2022). Inflation and portfolio selection. Finance Research Letters, 50, 103202. https://doi.org/10.1016/j.frl.2022.103202
  91. Wachtmeister, H., & Höök, M. (2020). Investment and production dynamics of conventional oil and unconventional tight oil: Implications for oil markets and climate strategies. Energy and Climate Change, 1, 100010. https://doi.org/10.1016/j.egycc.2020.100010
  92. Wei, Y.-M., Qiao, L., Jiang, S.-M., et al. (2020). A decision-making approach considering technology progress for investment in oil sands projects: An empirical analysis in Canada. Journal of Petroleum Science and Engineering, 195, 107741. https://doi.org/10.1016/j.petrol.2020.107741
  93. Wood, D. A. (2016). Asset portfolio multi-objective optimization tools provide insight to value, risk and strategy for gas and oil decision makers. Journal of Natural Gas Science and Engineering, 33, 196–216. https://doi.org/10.1016/j.jngse.2016.03.103
  94. Wu, X., & Wang, Y. (2021). How does corporate investment react to oil prices changes? Evidence from China. Energy Economics, 97, 105215. https://doi.org/10.1016/j.eneco.2021.105215
  95. Wu, Y., Shi, B., Wang, J., et al. (2021). An improved multi-view collaborative fuzzy C-means clustering algorithm and its application in overseas oil and gas exploration. Journal of Petroleum Science and Engineering, 197, 108093. https://doi.org/10.1016/j.petrol.2020.108093
  96. Yu, Z., Xiao, Y., & Li, J. (2021). How does geopolitical uncertainty affect Chinese overseas investment in the energy sector? Evidence from the South China Sea Dispute. Energy Economics, 100, 105361. https://doi.org/10.1016/j.eneco.2021.105361
  97. Zabala Aguayo, F. (2022). Impact of international organizations on the institutional development of investment activity. European Research on Management and Business Economics, 28(3), 100191. https://doi.org/10.1016/j.iedeen.2021.100191
  98. Zemenkova, M., Chizhevskaya, E., & Zemenkov, Y. (2022). Intelligent monitoring of the condition of hydrocarbon pipeline transport facilities using neural network technologies. Journal of Mining Institute, 258, 933–944. https://doi.org/10.31897/pmi.2022.105
  99. Zheng, Y., & Luo, D. (2009). Investment optimization in oil and gas plays. Petroleum Exploration and Development, 36(4), 535-540. https://doi.org/10.1016/S1876-3804(09)60145-2
  100. Zhong, M., & Bazilian, M. D. (2018). Contours of the energy transition: Investment by international oil and gas companies in renewable energy. The Electricity Journal, 31(1), 82–91. https://doi.org/10.1016/j.tej.2018.01.001
  101. Ziakas, V., & Getz, D. (2021). Event portfolio management: An emerging transdisciplinary field of theory and praxis. Tourism Management, 83, 104233. https://doi.org/10.1016/j.tourman.2020.104233
  102. Živkov, D., Manić, S., Đurašković, J., et al. (2022). Oil hedging with a multivariate semiparametric value-at-risk portfolio. Borsa Istanbul Review, 22(6), 1118–1131. https://doi.org/10.1016/j.bir.2022.08.004


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